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文章摘要
提高分布式储能系统放电效率的分散协调优化方法
Decentralized Cooperative Optimization Method to Enhance Charging Efficiency of Distributed Energy Storage System
Received:June 11, 2019  Revised:June 11, 2019
DOI:DOI: 10.19753/j.issn1001-1390.2020.22.014
中文关键词: 一致性算法  牵引控制  边际成本  分布式储能系统  放电效率
英文关键词: 
基金项目:国家重点研发计划基金资助项目
Author NameAffiliationE-mail
Li Zhe* NARI Group Corporation/State Grid Electric Power Research Institute lizhe17@126.com 
Fu Ming NARI Group Corporation/State Grid Electric Power Research Institute fuming@sgepri.sgcc.com.cn 
Zhang Xiaoyan NARI Group Corporation/State Grid Electric Power Research Institute zhangxiaoyan@sgepri.sgcc.com.cn 
Dai Kang State Grid Jiangsu Electric Power Company uming@sgepri.sgcc.com.cn 
Yuan Xiaodong State Grid Jiangsu Electric Power Company uming@sgepri.sgcc.com.cn 
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中文摘要:
      为提高智能配电网(Smart Distribution Network,SDN)中分布式储能系统(Distributed Energy Storage Systems,DESS)的充电效率,提出了一种基于两层一致性控制和牵引控制的分散协同优化方法。该方法仅通过相邻代理之间的局部信息交互来实现全局信息控制协调,不需要集中代理;通过改进的全局信息发现算法和存在牵引值的一致性算法,代替中央控制器作用,实现全分布式的分散协同优化;同时,通过对分布式储能系统放电的边际成本的控制,以分散的方式协调各DESS的充电效率,在减少SDN网络局部功率错配的同时,最大限度地提高充电效率。最后通过Simulink进行仿真,验证了此方法的有效性和适应性。
英文摘要:
      A decentralized cooperative optimization method is proposed in this study to improve discharging efficiencies of distributed energy storage systems (DESS) in a smart distribution network (SDN). The proposed method achieves global information or control coordination only through local information interaction between neighbor agents without centralized agents. It is accomplished by using the improved consensus-based information discovery and pinning algorithm of multi-agent system (MAS), which obviates the need for a central controller. Meanwhile, the proposed method coordinates DESS and the corresponding discharging efficiencies using associated marginal costs in a decentralize way, that can maximum the discharging efficiency while reducing local power mismatch in a SDN. Representative simulation cases are carried on to verify the effective DESS and adaptability of the proposed approach.#$NL……………………………………………………………………………………………………………………….
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